| dc.contributor.author | Supamahitorn, Supat | |
| dc.date.accessioned | 2014-04-15T18:33:17Z | |
| dc.date.available | 2014-04-15T18:33:17Z | |
| dc.date.issued | 2004-12-01 | |
| dc.identifier.uri | https://hdl.handle.net/11244/8252 | |
| dc.description.abstract | This paper introduces an image retrieval approach using normalized information distance based similarity metric to determine the difference between the images. The similarity metric is based on Kolmogorov complexity and measures the amount of shared information between images. Although the Kolmogorov complexity is uncomputable, we are following Vitanyi's approach for approximating it | |
| dc.format | application/pdf | |
| dc.language | en_US | |
| dc.publisher | Oklahoma State University | |
| dc.rights | Copyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material. | |
| dc.title | Investigation of a Kolmogorov Complexity Based Similarity Metric for Content Based Image Retrieval | |
| dc.type | text | |
| osu.filename | Supamahitorn_okstate_0664M_1110.pdf | |
| osu.college | Arts and Sciences | |
| osu.accesstype | Open Access | |
| dc.description.department | Computer Science Department | |
| dc.type.genre | Thesis | |
